上海交通大学学报

上海交通大学学报（自然版）

• 自动化技术、计算机技术 • 上一篇    下一篇

基于Matlab的图像处理技术识别硅太阳电池的缺陷

柳效辉，徐林，肖晨江，曹建明，肖娇   

  1. (上海交通大学 物理系太阳能研究所， 上海 200240)
  • 收稿日期:2009-09-08 修回日期:1900-01-01 出版日期:2010-07-28 发布日期:2010-07-28

Identifying the Crack of Silicon Solar Cells Based on Matlab Image Processing

LIU Xiaohui,XU Lin,XIAO Chenjiang,CAO Jianming,XIAO Jiao   

  1. (Solar Energy Institute, Department of Physics, Shanghai Jiaotong University, Shanghai 200240, China)
  • Received:2009-09-08 Revised:1900-01-01 Online:2010-07-28 Published:2010-07-28

摘要： 针对硅太阳电池缺陷的检测问题，利用非接触红外检测方法，通过CCD相机获取硅太阳电池的电致发光图像，利用Matlab软件对缺陷部位图像首先进行预处理，然后进行图像分割、特征提取和图像识别，最后判断检测的硅太阳电池的缺陷.结果表明,该方法能够有效识别硅太阳电池的缺陷.

关键词: 硅太阳电池, 缺陷, 图像处理, 识别

Abstract: Aiming at the measure problem of crack of silicon solar cells, an infrared noncontact detection method was used. The electroluminescence image of silicon solar cells was captured by CCD camera. Image preprocessing, image segmentation, feature extraction and image identification were analyzed based on Matlab image processing. The result proves that, using the principle, crack of silicon solar cells can be detected.

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